Niger vs Palau: Getting electricity: System average interruption duration index (SAIDI

Niger
165 DB16-20 methodology
in 2019
Palau
615.7 DB16-20 methodology
in 2019
Niger rank
3rd
Palau rank
2nd

Getting electricity: System average interruption duration index (SAIDI over time

  • Niger
  • Palau
2004006008001.0k201420162019

How they compare

Palau currently reports 615.7 DB16-20 methodology against 165 DB16-20 methodology in Niger, a difference of 450.7 DB16-20 methodology.

That makes Palau's figure about 3.7 times Niger's.

The two have swapped places 1 time across 5 shared years of data; in 2014 it was Niger ahead.

Niger ranks 3rd and Palau ranks 2nd of 125 countries.

Palau has averaged higher in every one of the 1 decades both report.

Frequently asked questions

Which has higher getting electricity: system average interruption duration index (saidi, Niger or Palau?
Palau, at 615.7 DB16-20 methodology against 165 DB16-20 methodology in Niger as of 2019.
What is the difference in getting electricity: system average interruption duration index (saidi between Niger and Palau?
450.7 DB16-20 methodology, with Palau ahead.
How many years of comparable data are there for Niger and Palau?
5 years are reported by both, from 2014 to 2019.
How do Niger and Palau rank globally for getting electricity: system average interruption duration index (saidi?
Niger ranks 3rd and Palau ranks 2nd of 125 countries.
Where does this data come from?
The World Bank, published as Getting electricity: System average interruption duration index (SAIDI) (DB16-20 methodology). Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Getting electricity: System average interruption duration index (SAIDI) (DB16-20 methodology)
Unit
DB16-20 methodology
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
126 places, 752 data points, 2014–2019
Last refreshed

The system average interruption duration index is the average total duration of outages (in hours) experienced by a customer in a year. The index is computed based on the methodology in the DB16-20 studies.